single-course
Statistic Basics for Data Science

Statistic Basics for Data Science

Award

This course includes certification from TATA STEEL

About course

The Statistic Basics for Data Science course covers essential statistical concepts for data analysis. Participants learn about populations and samples, descriptive and inferential statistics, measures of central tendency and spread, frequency distribution, quartiles, variance, and standard deviation. The curriculum also includes probability theory, probability distributions, and the significance of the normal distribution. Through practical examples, learners develop a solid foundation in statistics, enabling them to understand and interpret data effectively for data-driven decision-making in various fields.

Course Objective

By the end of this Course, You will be able to understand:

To learn Statistics that provides the means and tools to find structure in data. To find deeper insight into what truths your data is showing.

Course Curriculum

By the end of this Course, You will be able to understand:

  • Population and Sample
  • Descriptive and Inferential Statistics
  • Measures of Central Tendency
  • Measures of Spread
  • Frequency and Frequency Distribution
  • Quartile and Interquartile range
  • Variance and Standard Deviation
  • Probability and Probability Distribution
  • Normal Distribution (Bell Curve) and its significance